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What the parallel-processing community has (failed) to offer the multi/many-core generation

JOURNAL OF parallel AND DISTRIBUTED COMPUTING 2009年第9期69卷 807-812页

作者： Traff, Jesper Larsson NEC Europe Ltd NEC Labs Europe D-53757 St Augustin Germany

The International parallel and Distributed Processing Symposium (IPDPS) 2008 panel with the title "How to avoid making the same Mistakes all over again: What the parallel-processing Community has (failed) to offer the multi/many-core Generation" sought to provoke discussion on current and recent computer science education in relation to the emergence of fundamentally parallel multi/many-core systems. Is today's/tomorrow's/yesterday's computer science graduate equipped to deal with the challenges of parallel software development for such systems? Are mistakes from the past being unnecessarily repeated? What are the fundamental contributions of the parallel processing research community to the current state of affairs that are possibly being ignored? What are the new challenges that have not been addressed in past parallel processing research? How should computer-science education in parallel processing look like? Should it be taught at all? To the extent that there was consensus among the panelists, they agreed on the premise for the panel, namely that there is a mismatch in computer-science education concerning parallelism, and that there may be reasons to be concerned. They agreed on stressing the importance of (a) applications as a driving factor in research and education, (b) parallel algorithms, and of (c) focusing on the ease of parallel programming and not exclusively on parallel performance, and cited for instance heterogeneous parallelism and power awareness as new issues for the multi-core generation. The panelists were Hideharu Amano (Keio University), John Gustafson (Clearspeed Technologies), Keshav Pingali (University of Austin, Texas), Vivek Sarkar (Rice University), Uzi Vishkin (University of Maryland), and Katherine Yelick (University of California at Berkeley). The panel was organized and moderated by the author. (c) 2009 Elsevier Inc. All rights reserved.

关键词： IPDPS panel discussion parallel processing Multi-core processors Education parallel algorithmics Applications Embedded processing Heterogeneous processing Power awareness

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Performance analysis and qualitative results of an efficient parallel stochastic simulator for a marine host-parasite system

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CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE 2003年第11-12期15卷 1133-1150页

作者： Langlais, M Latu, G Roman, J Silan, P Univ Bordeaux 1 CNRS UMR 5800 LaBRI F-33405 Talence France ENSEIRB F-33405 Talence France Univ Bordeaux 2 CNRS UMR 5466 MAB F-33076 Bordeaux France Univ Montpellier 2 CNRS UMR 5000 F-34200 Sete France

We are interested in a host-parasite system, i.e. the sea bass-Diplectanum aequans system. A discrete mathematical model is used to describe the dynamics of both populations. Our goal is notably to validate the model in the context of aquaculture. A deterministic numerical simulator and, recently, a stochastic simulator were developed to study this biological system. parallelization is required because the execution times are too long. The Monte Carlo algorithm of the stochastic simulator and its three levels of parallelism are described. Analysis and performances, up to 256 processors, of a hybrid MPI/OpenMP code are then presented for a cluster of symmetric multi-processor (SMP) nodes. Qualitative results are given for the host-macroparasite system simulation. Copyright (C) 2003 John Wiley Sons, Ltd.

关键词： parallel algorithmics numerical simulation stochastic simulation host-parasite system Monogenea fish

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Performance analysis and qualitative results of an efficient parallel stochastic simulator for a marine host-parasite system

Performance analysis and qualitative results of an efficient...

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8th International Euro-Par Conference on parallel Processing

关键词： parallel algorithmics numerical simulation stochastic simulation host-parasite system Monogenea fish

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